Engineering Manager & Software/Data/AI Engineer — building platforms, pipelines, and AI-native apps.
I'm Bram — an engineering manager and software/data/AI engineer with a background in computer science. I build production-grade data platforms, AI-powered applications, and software products. I've led teams, coached engineers, and worked across industries from finance and telecom to medical research and logistics.
Engineering management and tech leadership across AI-native applications, data platforms, and software engineering. Inect was acquired by Panenco in December 2025.
Led a team of ~10 consultants while designing and delivering data platforms and AI applications. Built pipelines on Hadoop, Snowflake, and Databricks with dbt. Implemented GenAI chatbot agents with LangGraph. Coach and mentor for personal development. Taught data platform principles, dbt & software engineering at the (bi-)yearly RootsAcademy. Guild Grandmaster Data & Cloud — built a culture of R&D and knowledge sharing, organized RootsConf.
Assisted the school with its transformation to Google Classrooms. Supported teachers with day-to-day questions about the digital aspects of a classroom.
AI projects including data analysis, reinforcement learning, computer vision, and constraint programming. Built PoCs and production solutions.
System administration and support within the IT department of one of Belgium's largest university hospitals.
Full-stack system with computer vision for real-time livestock surveillance and foaling detection, an ML pipeline with MLflow for model training and labelling, video processing, a web dashboard and React Native mobile app, and Terraform-managed cloud infrastructure.
Full-stack application with a Python backend and TypeScript frontend, deployed on Terraform-managed cloud infrastructure.
Developed backend infrastructure for a Belgian telco's customer FAQ chatbot. Software engineering, API design, integration with vector databases and provisioning of required infrastructure.
Design and develop data pipelines to extract and load data to Azure Databricks and transform it using dbt for a company in the medical research industry. Coach/train the team on dbt, Databricks and CI/CD best practices.
Migrate a SME in the logistics sector from SQL Server to a modern data platform on Snowflake. Main focus on analytics engineering, migrating existing SQL scripts to transformation logic in dbt.
Set up data pipelines to ingest data from various sources to the Hadoop data lake for an international key player in the financial sector.
Build pipeline that retrieves and preprocesses data, offer it to a predictive model and make the resulting predictions available for business consumers.
Record linkage of multiple customer databases based on addresses and geolocations. Delivery was a small Python app that stored the matched customer info on S3.
Various PoCs and demos as Machine Learning Engineer about constraint optimization and computer vision, e.g. shopping cart detection and resource planning optimization.
Languages: Python, Java, SQL, HCL, Shell
Data: Databricks, dbt, Snowflake, Spark, ADF
AI & ML: LangChain / LangGraph, Computer Vision, FastAPI
Cloud & Infra: AWS, Azure, GCP, Terraform, Docker, CI/CD
Leadership: Team Management, Coaching, Account Management
Interested in working together? Get in touch.